LangSmith vs OpenAgent Eval
LangSmith
langchain.comOpenAgent Eval
openagenthq.github.ioSide by side
| Figure | LangSmith | OpenAgent Eval |
|---|---|---|
| Price from | $39/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · AI Agent Evaluation Tools | 9.1 (#4) | 7.3 (#25) |
| Framework support | LangSmith is framework-agnostic and accepts traces through its SDK or API from LangGraph, custom Python, or other application stacks. | The framework describes itself as compatible with LangChain, LlamaIndex, and custom RAG pipelines. |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | Documented LLM providers include OpenAI, Anthropic, Gemini, Groq, OpenRouter, Ollama, and a mock provider. |
| Purpose | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. | OpenAgent Eval is an open-source, local-first framework for evaluating RAG systems and AI agents. |
| Support | The Developer plan includes community support, and the Enterprise plan lists a support SLA. | The project directs users to GitHub Issues for bugs and GitHub Discussions for questions and ideas. |
Plans
In their own words
LangSmith
LangSmith is a commercial agent-engineering platform for building, evaluating, deploying, monitoring, and improving AI agents. It supports offline evaluations on curated datasets and real-time scoring of production interactions. Evaluation methods include human review, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom Python or TypeScript evaluators. Annotation queues route runs to subject-matter experts for feedback that can calibrate evaluations, improve prompts, or augment datasets. The Playground compares prompt versions or model providers, and LangSmith chat can auto-improve prompts. Observability includes agent and retrieval tracing, token and general cost tracking, trajectory monitoring, online evaluations, and webhook or PagerDuty alerts. Traces can arrive through SDKs or an API from LangGraph, custom Python, or other stacks; SDKs are listed for Python, TypeScript, Go, and Java. Hosting ranges from cloud to hybrid and self-hosted Enterprise options. The Developer plan costs nothing, Plus costs $39 a month, and Enterprise pricing is custom.
OpenAgent Eval
OpenAgent Eval has no write-up on Specifiction yet; its figures are above.